Triple

T37782579
Position Surface form Disambiguated ID Type / Status
Subject Tarn Adams E941868 entity
Predicate hasNotableFeatureInWork P642 FINISHED
Object detailed simulation of dwarven society — LITERAL FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: detailed simulation of dwarven society | Statement: [Tarn Adams, hasNotableFeatureInWork, detailed simulation of dwarven society]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNotableFeatureInWork
Context triple: [Tarn Adams, hasNotableFeatureInWork, detailed simulation of dwarven society]
  • A. hasNotableWorkExample
    Indicates that an entity has a specific notable work cited as an example associated with it.
  • B. hasNotableFeature chosen
    Indicates that an entity possesses a specific characteristic, trait, or attribute that is considered significant or noteworthy.
  • C. hasNotableWorkSetThere
    Indicates that a notable work (such as a book, film, or other creative piece) is set in or takes place within the referenced location.
  • D. hasNotableWorkSection
    Indicates that a notable work is associated with a specific section or part of a larger work or document.
  • E. hasNotableWorkWithinStory
    Indicates that an entity is associated with a significant work, creation, or achievement that exists within the narrative or fictional context of a story.
  • F. None of above.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69f76ee5cb0c81909a363d1c929156c0 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_6a037c903be48190a2fafa53d7d50d42 completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a037a1772e48190ba738c6d11b321e2 completed May 12, 2026, 7:05 p.m.
Created at: May 3, 2026, 4:19 p.m.